图神经网络快速爆发，最新进展都在这里了
[CVPR 2020] Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud[CVPR 2020] Geometrically Principled Connections in Graph Neural Networks [CVPR 2020] SuperGlue: Learning Feature Matching With Graph Neural Networks[CVPR 2020] Learning Multi-View Camera Relocalization With Graph Neural Networks[CVPR 2020] Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text[CVPR 2020] Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory[CVPR 2020] Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction[CVPR 2020] Dynamic Graph Message Passing Networks[ECCV 2020] Graph convolutional networks for learning with few clean and many noisy labels[ICML 2020] When Spectral Domain Meets Spatial Domain in Graph Neural Networks[KDD 2020] Graph Structural-topic Neural Network[KDD 2020] Towards Deeper Graph Neural Networks[KDD 2020] Redundancy-Free Computation for Graph Neural Networks[KDD 2020] TinyGNN: Learning Efficient Graph Neural Networks[KDD 2020] PolicyGNN: Aggregation Optimization for Graph Neural Networks [KDD 2020] Residual Correlation in Graph Neural Network Regression[KDD 2020] Spotlight: Non-IID Graph Neural Networks[KDD 2020] XGNN: Towards Model-Level Explanations of Graph Neural Networks[KDD 2020] Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction[KDD 2020] Handling Information Loss of Graph Neural Networks for Session-based Recommendation[KDD 2020] Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks[KDD 2020] GPT-GNN: Generative Pre-Training of Graph Neural Networks[KDD 2020] Graph Structure Learning for Robust Graph Neural Networks[KDD 2020] Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks[KDD 2020] A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks[KDD 2020] Competitive Analysis for Points of Interest[KDD 2020] Knowing your FATE: Explanations for User Engagement Prediction on Social Apps[KDD 2020] GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases[KDD 2020] Comprehensive Information Integration Modeling Framework for Video Titling
原文链接：
https://www.reddit.com/r/MachineLearning/comments/j6wzut/r_latest_developments_in_graph_neural_networks_a/
更多精彩推荐
Go to "Discover" > "Top Stories" > "Wow"